Josh Dillon, Last Revised January 2022
This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')
antenna = "54" csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_" auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')
Found 50 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_ Found 48 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0
def jd_to_summary_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'
def jd_to_auto_metrics_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'
this_antenna = None
jds = []
# parse information about antennas and nodes
for csv in csvs:
df = pd.read_csv(csv)
for n in range(len(df)):
# Add this day to the antenna
row = df.loc[n]
if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
else:
antnum = int(row['Ant'])
if antnum != int(antenna):
continue
if np.issubdtype(type(row['Node']), np.integer):
row['Node'] = str(row['Node'])
if type(row['Node']) == str and row['Node'].isnumeric():
row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
if this_antenna is None:
this_antenna = Antenna(row['Ant'], row['Node'])
jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
jds.append(jd)
this_antenna.add_day(jd, row)
break
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]
df = pd.DataFrame(to_show)
# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
df[col] = bar_cols[col]
z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
df[col] = z_score_cols[col]
ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
df[col] = ant_metrics_cols[col]
redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]
for col in redcal_cols:
df[col] = redcal_cols[col]
# style dataframe
table = df.style.hide_index()\
.applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
.background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
.background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
.applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
.format({col: '{:,.4f}'.format for col in z_score_cols}) \
.format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
.format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
.set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])
This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))
| JDs | A Priori Status | Auto Metrics Flags | Dead Fraction in Ant Metrics (Jee) | Dead Fraction in Ant Metrics (Jnn) | Crossed Fraction in Ant Metrics | Flag Fraction Before Redcal | Flagged By Redcal chi^2 Fraction | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | Average Dead Ant Metric (Jee) | Average Dead Ant Metric (Jnn) | Average Crossed Ant Metric | Median chi^2 Per Antenna (Jee) | Median chi^2 Per Antenna (Jnn) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2459865 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 18.154920 | 21.842821 | 64.327068 | 67.481600 | 15.768925 | 24.046624 | 15.394824 | 12.166941 | 0.0410 | 0.0411 | 0.0019 | nan | nan |
| 2459864 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 22.177391 | 26.710498 | 25.742161 | 27.618374 | 8.298763 | 13.440741 | 6.845442 | 4.455547 | 0.0420 | 0.0423 | 0.0018 | nan | nan |
| 2459863 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2459862 | digital_ok | 100.00% | 100.00% | 0.00% | 0.00% | - | - | 13.150797 | 0.220912 | 29.399171 | -0.852015 | 12.538400 | 4.386762 | 1.980821 | 2.160753 | 0.0488 | 0.7070 | 0.5080 | nan | nan |
| 2459861 | digital_ok | 100.00% | 100.00% | 0.00% | 0.00% | - | - | 10.138583 | 2.693680 | 8.218768 | 0.405787 | 2.581709 | 1.880914 | 2.312558 | 1.266933 | 0.0427 | 0.6802 | 0.4891 | nan | nan |
| 2459860 | digital_ok | 100.00% | 100.00% | 0.00% | 0.00% | - | - | 11.137241 | 9.447241 | 24.693141 | -0.394584 | 14.714843 | 1.009818 | 2.372703 | -0.431182 | 0.0453 | 0.6665 | 0.5197 | nan | nan |
| 2459859 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2459858 | digital_ok | 100.00% | 100.00% | 0.00% | 0.00% | 100.00% | 0.00% | 10.039540 | 3.680508 | 9.194221 | 0.356749 | 2.311183 | 1.935683 | 2.350213 | 11.727015 | 0.0459 | 0.6860 | 0.5277 | 1.333557 | 2.395997 |
| 2459857 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 6.611256 | 0.040153 | 1.533208 | 0.220974 | 1.728431 | -0.730473 | 6.952745 | 1.172804 | 0.0425 | 0.0501 | 0.0096 | nan | nan |
| 2459856 | digital_ok | 100.00% | 100.00% | 0.00% | 0.00% | 100.00% | 0.00% | 14.988981 | 10.350368 | 23.233178 | -0.405715 | 6.652394 | 0.302758 | 3.152482 | 7.210478 | 0.0475 | 0.6941 | 0.5404 | 1.354439 | 2.394156 |
| 2459855 | digital_ok | 100.00% | 100.00% | 0.00% | 0.00% | 100.00% | 0.00% | 15.738103 | 10.855745 | 24.260945 | -0.732968 | 2.753088 | 3.584607 | 1.518160 | 1.289553 | 0.0484 | 0.7121 | 0.5580 | 1.161356 | 2.319123 |
| 2459854 | digital_ok | 100.00% | 100.00% | 0.00% | 0.00% | 100.00% | 0.00% | 15.741366 | 14.895895 | 18.593168 | -0.247116 | 4.028285 | 0.236179 | 5.608081 | 4.114927 | 0.0510 | 0.7262 | 0.5752 | 1.143503 | 2.355308 |
| 2459853 | digital_ok | 100.00% | 100.00% | 0.00% | 0.00% | 100.00% | 0.00% | 13.178242 | 6.237780 | 25.244431 | -0.445930 | 7.006733 | 1.174340 | 3.597999 | 2.643794 | 0.0500 | 0.6887 | 0.5358 | 1.382289 | 2.608710 |
| 2459852 | digital_ok | 100.00% | 100.00% | 0.00% | 0.00% | 100.00% | 0.00% | 13.231309 | -0.217464 | 26.004177 | -0.933908 | 15.672972 | 1.429151 | 16.735702 | -0.925418 | 0.0600 | 0.8431 | 0.5847 | 1.294222 | 3.915523 |
| 2459851 | digital_ok | 100.00% | 89.15% | 0.00% | 0.00% | 100.00% | 0.00% | 10.259317 | 3.753346 | 26.749135 | -0.494912 | 21.519771 | 1.615954 | 13.841567 | 0.391203 | 0.1281 | 0.7487 | 0.5337 | 1.499029 | 3.247787 |
| 2459850 | digital_ok | 100.00% | 97.66% | 0.00% | 0.00% | 100.00% | 0.00% | 12.517605 | 5.490366 | 23.129395 | -0.455239 | 10.337531 | 1.064916 | 7.208210 | 1.506505 | 0.0766 | 0.7570 | 0.5113 | 1.382981 | 2.546884 |
| 2459849 | digital_ok | 100.00% | 100.00% | 0.00% | 0.00% | 100.00% | 0.00% | 14.563401 | -0.864946 | 46.669696 | -0.880439 | 7.104008 | 0.971529 | 4.410092 | 4.772839 | 0.0542 | 0.7633 | 0.5406 | 1.536543 | 3.438237 |
| 2459848 | digital_ok | 100.00% | 100.00% | 0.00% | 0.00% | 100.00% | 0.00% | 13.290354 | 0.505495 | 29.735184 | -0.618168 | 14.331254 | 2.109279 | 2.330787 | 3.996132 | 0.0512 | 0.7603 | 0.5574 | 1.473381 | 3.075815 |
| 2459847 | digital_ok | 100.00% | 100.00% | 0.00% | 0.00% | 100.00% | 0.00% | 15.366130 | -0.442216 | 27.761044 | -0.414620 | 21.827506 | 1.858237 | 0.797086 | 1.449361 | 0.0423 | 0.6991 | 0.5303 | 1.404662 | 2.581382 |
| 2459846 | digital_ok | 100.00% | 100.00% | 0.00% | 0.00% | 100.00% | 0.00% | 24.867707 | -1.075278 | 33.721827 | -0.007132 | 21.664346 | 1.615530 | 4.256981 | -0.512638 | 0.0459 | 0.7071 | 0.4789 | 1.610311 | 3.064664 |
| 2459845 | digital_ok | 100.00% | 100.00% | 0.00% | 0.00% | 100.00% | 0.00% | 16.905537 | -0.315897 | 39.432344 | 0.139502 | 10.115741 | -0.204663 | 1.564699 | 0.307908 | 0.0590 | 0.7636 | 0.6514 | 1.174578 | 9.984699 |
| 2459844 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 13.915515 | 0.504969 | 5.904540 | 0.152813 | 0.808160 | 0.454357 | 6.230232 | 1.493963 | 0.0517 | 0.0740 | 0.0234 | nan | nan |
| 2459843 | digital_ok | 100.00% | 100.00% | 0.66% | 0.00% | 100.00% | 0.00% | 17.085871 | -0.975150 | 19.115369 | -1.175527 | 64.463905 | 0.196363 | 0.231233 | 1.592351 | 0.0521 | 0.7625 | 0.6212 | 1.696072 | 4.048418 |
| 2459838 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 67.892118 | 84.055899 | 71.443569 | 66.768911 | 68.429362 | 67.519417 | 772.492363 | 591.556943 | 0.0168 | 0.0165 | 0.0004 | 0.000000 | 0.000000 |
| 2459833 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | 0.845383 | -0.789290 | 0.815562 | 0.569532 | -0.544486 | 0.352991 | 0.432844 | 1.390399 | 0.0433 | 0.0932 | 0.0053 | nan | nan |
| 2459832 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 1.596226 | 11.433258 | 0.992896 | -0.579345 | 0.533210 | 9.220807 | 0.789468 | 1.014506 | 0.0926 | 0.0925 | 0.0187 | 1.224004 | 1.224971 |
| 2459831 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.531910 | -0.549216 | -1.052095 | 1.343212 | -0.668479 | -0.895905 | -0.206040 | 0.774682 | 0.0355 | 0.0424 | 0.0016 | nan | nan |
| 2459830 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 1.580126 | 22.870577 | 1.387894 | 1.288152 | 0.789526 | 5.660819 | 1.275403 | 2.703064 | 0.0846 | 0.0967 | 0.0208 | 1.241719 | 1.240192 |
| 2459829 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 0.887994 | 35.378165 | 1.133631 | 1.168500 | 0.949517 | 4.816593 | 1.734312 | 2.038527 | 0.0940 | 0.1021 | 0.0179 | 34.971879 | 22.095003 |
| 2459828 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 0.866973 | 11.643199 | 1.028494 | 1.823077 | 0.059000 | 3.400357 | 2.502953 | 0.119643 | 0.0762 | 0.0898 | 0.0169 | 1.252671 | 1.250877 |
| 2459827 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 0.465320 | 26.744552 | 1.336424 | 1.512398 | 0.645341 | 3.833578 | 0.127570 | 0.623499 | 0.0946 | 0.1034 | 0.0191 | 1.202207 | 1.199721 |
| 2459826 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 1.357972 | 15.447347 | 1.626663 | 2.287286 | 1.295870 | 5.727232 | 0.563729 | -0.082438 | 0.0664 | 0.0721 | 0.0119 | 1.147168 | 1.135188 |
| 2459825 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 0.595436 | 6.352998 | 1.364107 | 0.424943 | -0.965889 | 7.217102 | -0.584822 | 15.917780 | 0.0784 | 0.0945 | 0.0182 | 1.194300 | 1.189275 |
| 2459824 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 0.568712 | 28.965965 | 1.229012 | 0.985292 | 0.224002 | 2.603130 | 1.311546 | 0.107834 | 0.1073 | 0.1165 | 0.0202 | 1.216093 | 1.215526 |
| 2459823 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 0.168314 | 6.588890 | 1.941136 | 3.457562 | 0.094130 | 3.290488 | 2.220261 | 1.683441 | 0.0955 | 0.1055 | 0.0220 | 1.132707 | 1.129892 |
| 2459822 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 0.914717 | 8.403356 | 1.392426 | 3.117768 | -0.513406 | 5.749390 | 0.976564 | 7.216219 | 0.0889 | 0.0948 | 0.0182 | 1.199499 | 1.192283 |
| 2459821 | digital_ok | 100.00% | 11.29% | 11.29% | 0.00% | 100.00% | 0.00% | 1.481911 | 1.898634 | 1.325956 | 1.798883 | -1.375839 | 3.371661 | 0.215494 | 24.437464 | 0.7373 | 0.6010 | 0.4247 | 4.016303 | 3.281438 |
| 2459820 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.443531 | 2.954496 | 1.131213 | 1.142228 | 0.300717 | 11.202453 | 0.492268 | 4.520073 | 0.7864 | 0.7070 | 0.3933 | 4.245019 | 3.731064 |
| 2459817 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 50.00% | 0.837481 | -0.306333 | 1.319126 | 1.057010 | -0.334606 | -0.447355 | -0.254084 | -0.719210 | 0.8326 | 0.7109 | 0.4779 | 2.826214 | 2.688585 |
| 2459816 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.657856 | -0.685763 | 1.846962 | 0.832313 | 0.967530 | 1.487681 | 1.246738 | -0.570147 | 0.8500 | 0.6262 | 0.5662 | 1.911709 | 1.596301 |
| 2459815 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 15.79% | 0.907491 | -0.279332 | 1.684638 | 0.884186 | 0.885119 | 0.856075 | 0.955164 | -0.233047 | 0.8277 | 0.7176 | 0.4892 | 2.264774 | 2.076999 |
| 2459814 | digital_ok | 0.00% | - | - | - | - | - | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2459813 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 1.07% | 0.00% | 1.357772 | -0.117737 | 0.692816 | 0.544481 | 1.898464 | 3.082918 | 2.757303 | 2.047856 | 0.8009 | 0.7540 | 0.3653 | 2.332825 | 2.112866 |
auto_metrics notebooks.¶htmls_to_display = []
for am_html in auto_metric_htmls:
html_to_display = ''
# read html into a list of lines
with open(am_html) as f:
lines = f.readlines()
# find section with this antenna's metric plots and add to html_to_display
jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
try:
section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
except ValueError:
continue
html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
for line in lines[section_start_line + 1:]:
html_to_display += line
if '<hr' in line:
htmls_to_display.append(html_to_display)
break
These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.
for i, html_to_display in enumerate(htmls_to_display):
if i == 100:
break
display(HTML(html_to_display))
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 54 | N04 | digital_ok | nn Power | 67.481600 | 18.154920 | 21.842821 | 64.327068 | 67.481600 | 15.768925 | 24.046624 | 15.394824 | 12.166941 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 54 | N04 | digital_ok | nn Power | 27.618374 | 26.710498 | 22.177391 | 27.618374 | 25.742161 | 13.440741 | 8.298763 | 4.455547 | 6.845442 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 54 | N04 | digital_ok | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 54 | N04 | digital_ok | ee Power | 29.399171 | 13.150797 | 0.220912 | 29.399171 | -0.852015 | 12.538400 | 4.386762 | 1.980821 | 2.160753 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 54 | N04 | digital_ok | ee Shape | 10.138583 | 2.693680 | 10.138583 | 0.405787 | 8.218768 | 1.880914 | 2.581709 | 1.266933 | 2.312558 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 54 | N04 | digital_ok | ee Power | 24.693141 | 11.137241 | 9.447241 | 24.693141 | -0.394584 | 14.714843 | 1.009818 | 2.372703 | -0.431182 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 54 | N04 | digital_ok | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 54 | N04 | digital_ok | nn Temporal Discontinuties | 11.727015 | 3.680508 | 10.039540 | 0.356749 | 9.194221 | 1.935683 | 2.311183 | 11.727015 | 2.350213 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 54 | N04 | digital_ok | ee Temporal Discontinuties | 6.952745 | 0.040153 | 6.611256 | 0.220974 | 1.533208 | -0.730473 | 1.728431 | 1.172804 | 6.952745 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 54 | N04 | digital_ok | ee Power | 23.233178 | 14.988981 | 10.350368 | 23.233178 | -0.405715 | 6.652394 | 0.302758 | 3.152482 | 7.210478 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 54 | N04 | digital_ok | ee Power | 24.260945 | 10.855745 | 15.738103 | -0.732968 | 24.260945 | 3.584607 | 2.753088 | 1.289553 | 1.518160 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 54 | N04 | digital_ok | ee Power | 18.593168 | 14.895895 | 15.741366 | -0.247116 | 18.593168 | 0.236179 | 4.028285 | 4.114927 | 5.608081 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 54 | N04 | digital_ok | ee Power | 25.244431 | 6.237780 | 13.178242 | -0.445930 | 25.244431 | 1.174340 | 7.006733 | 2.643794 | 3.597999 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 54 | N04 | digital_ok | ee Power | 26.004177 | 13.231309 | -0.217464 | 26.004177 | -0.933908 | 15.672972 | 1.429151 | 16.735702 | -0.925418 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 54 | N04 | digital_ok | ee Power | 26.749135 | 10.259317 | 3.753346 | 26.749135 | -0.494912 | 21.519771 | 1.615954 | 13.841567 | 0.391203 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 54 | N04 | digital_ok | ee Power | 23.129395 | 12.517605 | 5.490366 | 23.129395 | -0.455239 | 10.337531 | 1.064916 | 7.208210 | 1.506505 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 54 | N04 | digital_ok | ee Power | 46.669696 | 14.563401 | -0.864946 | 46.669696 | -0.880439 | 7.104008 | 0.971529 | 4.410092 | 4.772839 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 54 | N04 | digital_ok | ee Power | 29.735184 | 0.505495 | 13.290354 | -0.618168 | 29.735184 | 2.109279 | 14.331254 | 3.996132 | 2.330787 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 54 | N04 | digital_ok | ee Power | 27.761044 | -0.442216 | 15.366130 | -0.414620 | 27.761044 | 1.858237 | 21.827506 | 1.449361 | 0.797086 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 54 | N04 | digital_ok | ee Power | 33.721827 | 24.867707 | -1.075278 | 33.721827 | -0.007132 | 21.664346 | 1.615530 | 4.256981 | -0.512638 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 54 | N04 | digital_ok | ee Power | 39.432344 | -0.315897 | 16.905537 | 0.139502 | 39.432344 | -0.204663 | 10.115741 | 0.307908 | 1.564699 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 54 | N04 | digital_ok | ee Shape | 13.915515 | 13.915515 | 0.504969 | 5.904540 | 0.152813 | 0.808160 | 0.454357 | 6.230232 | 1.493963 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 54 | N04 | digital_ok | ee Temporal Variability | 64.463905 | -0.975150 | 17.085871 | -1.175527 | 19.115369 | 0.196363 | 64.463905 | 1.592351 | 0.231233 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 54 | N04 | digital_ok | ee Temporal Discontinuties | 772.492363 | 84.055899 | 67.892118 | 66.768911 | 71.443569 | 67.519417 | 68.429362 | 591.556943 | 772.492363 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 54 | N04 | digital_ok | nn Temporal Discontinuties | 1.390399 | -0.789290 | 0.845383 | 0.569532 | 0.815562 | 0.352991 | -0.544486 | 1.390399 | 0.432844 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 54 | N04 | digital_ok | nn Shape | 11.433258 | 1.596226 | 11.433258 | 0.992896 | -0.579345 | 0.533210 | 9.220807 | 0.789468 | 1.014506 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 54 | N04 | digital_ok | nn Power | 1.343212 | -0.531910 | -0.549216 | -1.052095 | 1.343212 | -0.668479 | -0.895905 | -0.206040 | 0.774682 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 54 | N04 | digital_ok | nn Shape | 22.870577 | 1.580126 | 22.870577 | 1.387894 | 1.288152 | 0.789526 | 5.660819 | 1.275403 | 2.703064 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 54 | N04 | digital_ok | nn Shape | 35.378165 | 35.378165 | 0.887994 | 1.168500 | 1.133631 | 4.816593 | 0.949517 | 2.038527 | 1.734312 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 54 | N04 | digital_ok | nn Shape | 11.643199 | 11.643199 | 0.866973 | 1.823077 | 1.028494 | 3.400357 | 0.059000 | 0.119643 | 2.502953 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 54 | N04 | digital_ok | nn Shape | 26.744552 | 0.465320 | 26.744552 | 1.336424 | 1.512398 | 0.645341 | 3.833578 | 0.127570 | 0.623499 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 54 | N04 | digital_ok | nn Shape | 15.447347 | 15.447347 | 1.357972 | 2.287286 | 1.626663 | 5.727232 | 1.295870 | -0.082438 | 0.563729 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 54 | N04 | digital_ok | nn Temporal Discontinuties | 15.917780 | 6.352998 | 0.595436 | 0.424943 | 1.364107 | 7.217102 | -0.965889 | 15.917780 | -0.584822 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 54 | N04 | digital_ok | nn Shape | 28.965965 | 0.568712 | 28.965965 | 1.229012 | 0.985292 | 0.224002 | 2.603130 | 1.311546 | 0.107834 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 54 | N04 | digital_ok | nn Shape | 6.588890 | 6.588890 | 0.168314 | 3.457562 | 1.941136 | 3.290488 | 0.094130 | 1.683441 | 2.220261 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 54 | N04 | digital_ok | nn Shape | 8.403356 | 0.914717 | 8.403356 | 1.392426 | 3.117768 | -0.513406 | 5.749390 | 0.976564 | 7.216219 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 54 | N04 | digital_ok | nn Temporal Discontinuties | 24.437464 | 1.898634 | 1.481911 | 1.798883 | 1.325956 | 3.371661 | -1.375839 | 24.437464 | 0.215494 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 54 | N04 | digital_ok | nn Temporal Variability | 11.202453 | 0.443531 | 2.954496 | 1.131213 | 1.142228 | 0.300717 | 11.202453 | 0.492268 | 4.520073 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 54 | N04 | digital_ok | ee Power | 1.319126 | 0.837481 | -0.306333 | 1.319126 | 1.057010 | -0.334606 | -0.447355 | -0.254084 | -0.719210 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 54 | N04 | digital_ok | ee Power | 1.846962 | -0.685763 | 0.657856 | 0.832313 | 1.846962 | 1.487681 | 0.967530 | -0.570147 | 1.246738 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 54 | N04 | digital_ok | ee Power | 1.684638 | -0.279332 | 0.907491 | 0.884186 | 1.684638 | 0.856075 | 0.885119 | -0.233047 | 0.955164 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 54 | N04 | digital_ok | nn Shape | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 54 | N04 | digital_ok | nn Temporal Variability | 3.082918 | -0.117737 | 1.357772 | 0.544481 | 0.692816 | 3.082918 | 1.898464 | 2.047856 | 2.757303 |